Challenges of using model predictive control for active demand side management

Yi Zong; Shi You; Junjie Hu; Xue Han; Chongxi  Jiang; Yi  Zhang; Georg Martin  Böning

Challenges of using model predictive control for active demand side management

Yi Zong, Shi You, Junjie Hu, Xue Han, Chongxi Jiang, Yi Zhang, Georg Martin Böning

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

When there is a high penetration of renewables in the power system, it requires coordinated management of large numbers of distributed and demand response resources, intermittent resources to maintain the grid reliability and improve operational economics. This paper presents a hierarchical architecture design for Model Predictive Controller (MPC), and discusses the challenges encountered during the implementation of MPC for active demand side management. The two different pilot case studies show that energy savings and load shifting can be achieved by applying MPC with weather forecast and dynamic power price signals.

Original language	English
Title of host publication	Proceedings. The 4th International Conference on Microgeneration and Related Technologies (Microgen4)
Number of pages	10
Publication date	2015
Publication status	Published - 2015
Event	4th International Conference on Microgeneration and Related Technologies - Tokyo, Japan Duration: 28 Oct 2015 → 30 Oct 2015 Conference number: 4 http://microgen4.info/

Conference

Conference	4th International Conference on Microgeneration and Related Technologies
Number	4
Country/Territory	Japan
City	Tokyo
Period	28/10/2015 → 30/10/2015
Internet address	http://microgen4.info/

Keywords

Microgen 4

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Challenges of using modelAccepted author manuscript, 527 KB

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title = "Challenges of using model predictive control for active demand side management",

abstract = "When there is a high penetration of renewables in the power system, it requires coordinated management of large numbers of distributed and demand response resources, intermittent resources to maintain the grid reliability and improve operational economics. This paper presents a hierarchical architecture design for Model Predictive Controller (MPC), and discusses the challenges encountered during the implementation of MPC for active demand side management. The two different pilot case studies show that energy savings and load shifting can be achieved by applying MPC with weather forecast and dynamic power price signals.",

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year = "2015",

language = "English",

booktitle = "Proceedings. The 4th International Conference on Microgeneration and Related Technologies (Microgen4)",

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Challenges of using model predictive control for active demand side management. / Zong, Yi ; You, Shi; Hu, Junjie; Han, Xue; Jiang, Chongxi ; Zhang, Yi ; Böning, Georg Martin .

Proceedings. The 4th International Conference on Microgeneration and Related Technologies (Microgen4). 2015.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Challenges of using model predictive control for active demand side management

AU - Zong, Yi

AU - You, Shi

AU - Hu, Junjie

AU - Han, Xue

AU - Jiang, Chongxi

AU - Zhang, Yi

AU - Böning, Georg Martin

N1 - Conference code: 4

PY - 2015

Y1 - 2015

N2 - When there is a high penetration of renewables in the power system, it requires coordinated management of large numbers of distributed and demand response resources, intermittent resources to maintain the grid reliability and improve operational economics. This paper presents a hierarchical architecture design for Model Predictive Controller (MPC), and discusses the challenges encountered during the implementation of MPC for active demand side management. The two different pilot case studies show that energy savings and load shifting can be achieved by applying MPC with weather forecast and dynamic power price signals.

AB - When there is a high penetration of renewables in the power system, it requires coordinated management of large numbers of distributed and demand response resources, intermittent resources to maintain the grid reliability and improve operational economics. This paper presents a hierarchical architecture design for Model Predictive Controller (MPC), and discusses the challenges encountered during the implementation of MPC for active demand side management. The two different pilot case studies show that energy savings and load shifting can be achieved by applying MPC with weather forecast and dynamic power price signals.

KW - Microgen 4

M3 - Article in proceedings

BT - Proceedings. The 4th International Conference on Microgeneration and Related Technologies (Microgen4)

T2 - 4th International Conference on Microgeneration and Related Technologies

Y2 - 28 October 2015 through 30 October 2015

ER -

Challenges of using model predictive control for active demand side management

Abstract

Conference

Keywords

UN SDGs

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